Senior Software Engineer - MLOps & Data Platform
Remote US
1848 Ventures
A B2B SaaS venture studio focused on building and launching AI-powered ventures that serve small and medium businesses.About Us
TakeUp is on a mission to transform revenue management for boutique Inns and independent hotels. Our platform leverages machine learning to optimize room rates and provide actionable insights, helping properties of all sizes thrive in a competitive marketplace.
What You’ll Do
As a Senior Software Engineer focused on MLOps & Platform Development, you will own critical parts of our data infrastructure and pipelines. You’ll have broad autonomy to design and build solutions that power our machine learning workflows, integrate new data sources, and support next-generation features (including LLM-driven capabilities). This role is entirely focused on platform, data engineering, and MLOps—no front-end application development.
• Architect & Implement Data Pipelines: Design robust data flows that ingest, transform, and deliver critical datasets within our AWS, Snowflake, dbt, and Prefect ecosystem.
• Own MLOps: Collaborate closely with our data science team to productionize models in AWS SageMaker and ensure smooth, efficient model deployment and monitoring.
• Integrate LLM Tools: Contribute to the design of LLM-powered features, connecting these tools to our platform and data pipelines as needed.
• Infrastructure & Reliability: Engineer a scalable environment using services like AWS ECS, Lambda, and other modern cloud tooling to support continuous growth.
• Platform Leadership: Champion best practices, guide technology choices, and help shape the evolving architecture. This is a high-autonomy role where you’ll operate with minimal oversight.
• Continuous Improvement: Prioritize progress over perfection, driving rapid iteration while balancing technical debt and long-term maintainability.
What We’re Looking For
• Senior-Level Expertise: You’ve been hands-on building and operating data-intensive and/or machine learning platforms in a production environment.
• Python & Cloud Stack: Strong Python skills with a proven track record using AWS (ECS, SageMaker, Lambda, etc.), Snowflake, dbt, and orchestration frameworks like Prefect (or similar).
• Self-Starter Mentality: You take broad goals and run with them, proactively identifying next steps and making sound architectural decisions.
• Ownership & Drive: You thrive in a startup setting, embrace multiple hats, and love getting into the technical weeds to solve tough challenges.
• Collaborative & Curious: Comfortable interfacing with data scientists, product managers, and external partners to deliver impactful solutions.
Why Join Us
• High Impact & Autonomy: Influence key decisions and shape the technical foundations of a high-growth platform.
• Focus on Innovation: Work at the intersection of hospitality and emerging tech, including LLMs and advanced ML workflows.
• Progress Over Perfection: We value rapid, iterative improvement—mistakes are learning opportunities, not deal-breakers.
• Startup Culture: As part of a young, energized team, you’ll see the direct impact of your work on customers and the industry.
EQUAL OPPORTUNITY EMPLOYER
1848 Ventures celebrates diversity and is committed to inclusion. All qualified applicants receive consideration for employment without regard to race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, or status as a protected veteran.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Data pipelines dbt ECS Engineering Lambda LLMs Machine Learning MLOps Model deployment Pipelines Python SageMaker Snowflake
Perks/benefits: Career development Startup environment
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